Pyth Pro MCP Server

Real-time and historical price feeds for 500+ crypto, equities, FX, and commodities assets.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
98%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~2,024Tokens (Tool-Definitionen)
~2.4 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.58% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "mcp": {
      "url": "https://mcp.pyth.network/mcp"
    }
  }
}

Remote-Endpunkte

https://mcp.pyth.network/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (5)

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🟢get_symbols(asset_type, limit, offset, query)

List available Pyth Pro price feeds. Use this FIRST to discover what feeds exist before calling get_latest_price, get_historical_price, or get_candlestick_data. Filter by asset_type (crypto, equity, fx, metal, rates, commodity, funding-rate) or search by name/symbol. Returns feed metadata including pyth_lazer_id (needed for get_historical_price), symbol, asset_type, and exponent.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "asset_type": {
      "type": "string",
      "enum": [
        "crypto",
        "fx",
        "equity",
        "metal",
        "rates",
        "commodity",
        "funding-rate"
      ],
      "description": "Filter by asset type: crypto, fx, equity, metal, rates, commodity, funding-rate"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 200,
      "default": 50,
      "description": "Results per page (default 50, max 200)"
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "default": 0,
      "description": "Pagination offset (default 0)"
    },
    "query": {
      "type": "string",
      "description": "Text filter (e.g. 'BTC', 'gold', 'AAPL')"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢convert_date_to_timestamp(date_string)

Convert a date string to Unix timestamp for use with get_historical_price and get_candlestick_data. Use this tool when you need to compute timestamps — do not calculate Unix timestamps manually. Accepts ISO 8601 dates (e.g. '2026-01-01', '2026-01-01T12:00:00Z'). Returns seconds, microseconds, ISO 8601, and whether the date is within the available data range (April 2025 onward).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "date_string": {
      "type": "string",
      "minLength": 1,
      "maxLength": 64,
      "description": "Date to convert. Must be ISO 8601 / RFC 3339 with timezone (e.g. '2026-01-01T00:00:00Z', '2026-01-01'). Bare dates without timezone are interpreted as UTC."
    }
  },
  "required": [
    "date_string"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_candlestick_data(access_token, channel, from, resolution, symbol, ...)

Fetch OHLC candlestick data for a symbol. Pass your Pyth Pro `access_token` to authenticate the request. Use for charting, technical analysis, backtesting. IMPORTANT: The symbol must be the full name from get_symbols including the asset type prefix (e.g. 'Crypto.BTC/USD', 'Equity.US.AAPL', 'FX.EUR/USD') — never use bare names like 'BTC/USD'. Historical data is available from April 2025 onward — do not request timestamps before that. Resolutions: 1/5/15/30/60 minutes, 120/240/360/720 (multi-hour), D (daily), W (weekly), M (monthly). Timestamps are Unix seconds. Timestamp reference (Unix seconds): 2025-04-01 (earliest available) = 1743465600 2026-01-01 = 1767225600 2026-06-01 = 1780272000 Always double-check your timestamp math — year-boundary errors are common.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "access_token": {
      "type": "string",
      "minLength": 1,
      "description": "Pyth Pro access token used to authenticate the request. Get one at https://docs.pyth.network/price-feeds/pro/acquire-access-token"
    },
    "channel": {
      "type": "string",
      "pattern": "^(real_time|fixed_rate@\\d+ms)$",
      "description": "Override default channel (e.g. fixed_rate@200ms, real_time, fixed_rate@50ms, fixed_rate@1000ms)"
    },
    "from": {
      "type": "integer",
      "exclusiveMinimum": 0,
      "description": "Start time (Unix seconds)"
    },
    "resolution": {
      "type": "string",
      "enum": [
        "1",
        "5",
        "15",
        "30",
        "60",
        "120",
        "240",
        "360",
        "720",
        "D",
        "W",
        "M"
      ],
      "description": "Candle size: 1, 5, 15, 30, 60 (minutes), 120, 240, 360, 720 (hours), D (daily), W (weekly), M (monthly)"
    },
    "symbol": {
      "type": "string",
      "minLength": 1,
      "description": "Full symbol from get_symbols including asset type prefix (e.g. 'Crypto.BTC/USD', not 'BTC/USD')"
    },
    "to": {
      "type": "integer",
      "exclusiveMinimum": 0,
      "description": "End time (Unix seconds)"
    }
  },
  "required": [
    "from",
    "resolution",
    "symbol",
    "to"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_historical_price(access_token, channel, price_feed_ids, symbols, timestamp)

Get price data for specific feeds at a historical timestamp. Pass your Pyth Pro `access_token` to authenticate the request. Use get_symbols first to find feed IDs or symbols. If both price_feed_ids and symbols are provided, only price_feed_ids are used. Accepts Unix seconds, milliseconds, or microseconds (auto-detected). Historical data is available from April 2025 onward — do not request timestamps before that. The timestamp is internally converted to microseconds and aligned (rounded down) to the channel rate — e.g. for fixed_rate@200ms, it must be divisible by 200,000μs. Prices are integers with an exponent field — human-readable price = price * 10^exponent. Pre-computed display_price fields are included for convenience. Timestamp reference: 2025-04-01 (earliest available) = 1743465600 2026-01-01 = 1767225600 2026-06-01 = 1780272000 Always double-check your timestamp math — year-boundary errors are common.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "access_token": {
      "type": "string",
      "minLength": 1,
      "description": "Pyth Pro access token used to authenticate the request. Get one at https://docs.pyth.network/price-feeds/pro/acquire-access-token"
    },
    "channel": {
      "type": "string",
      "pattern": "^(real_time|fixed_rate@\\d+ms)$",
      "description": "Override default channel (e.g. fixed_rate@200ms, real_time, fixed_rate@50ms, fixed_rate@1000ms)"
    },
    "price_feed_ids": {
      "type": "array",
      "items": {
        "type": "integer",
        "exclusiveMinimum": 0
      },
      "maxItems": 50,
      "description": "Numeric feed IDs from get_symbols"
    },
    "symbols": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 50,
      "description": "Full symbol names from get_symbols including asset type prefix (e.g. ['Crypto.BTC/USD', 'Equity.US.AAPL/USD'])"
    },
    "timestamp": {
      "type": "number",
      "exclusiveMinimum": 0,
      "description": "Unix timestamp — accepts seconds, milliseconds, or microseconds (auto-detected by magnitude)"
    }
  },
  "required": [
    "timestamp"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_latest_price(access_token, channel, price_feed_ids, properties, symbols)

Get the most recent real-time price for one or more feeds. Requires an `access_token` parameter (get one at https://docs.pyth.network/price-feeds/pro/acquire-access-token). Use get_symbols first to find symbols or feed IDs. IMPORTANT: symbols must be the full name including asset type prefix (e.g. 'Crypto.BTC/USD', not 'BTC/USD'). If both price_feed_ids and symbols are provided, only price_feed_ids are used. Prices are integers with an exponent field — human-readable price = price * 10^exponent. Pre-computed display_price fields are included for convenience.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "access_token": {
      "type": "string",
      "minLength": 1,
      "description": "Pyth Pro access token. Get one at https://pyth.network/pricing"
    },
    "channel": {
      "type": "string",
      "pattern": "^(real_time|fixed_rate@\\d+ms)$",
      "description": "Override default channel (e.g. fixed_rate@200ms, real_time, fixed_rate@50ms, fixed_rate@1000ms)"
    },
    "price_feed_ids": {
      "type": "array",
      "items": {
        "type": "integer",
        "exclusiveMinimum": 0
      },
      "maxItems": 100,
      "description": "Numeric feed IDs from get_symbols"
    },
    "properties": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Properties to return. Default: price, bestBidPrice, bestAskPrice, confidence, exponent, publisherCount"
    },
    "symbols": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 100,
      "description": "Full symbol names from get_symbols including asset type prefix (e.g. ['Crypto.BTC/USD', 'Equity.US.AAPL/USD'])"
    }
  },
  "required": [
    "access_token"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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